There are 3,997 different Android devices. Your navigation should work with all of them. C-Swipe can help: It is an alternative navigation pattern for tablets and mobile devices that is novel, ergonomic and localized.

This article provides a detailed walk-through of the design and code and provides a downloadable mini-app so that you can try out C-Swipe to see whether it’s right for your app.

One of the best patterns for browsing a small collection of featured products is the carousel. Unfortunately, many mobile app implementations do not offer an engaging or satisfying carousel experience and are not effective at driving conversions.

In this article, we’ll use the analogy of a real-world amusement park carousel to explain what makes for an authentically mobile user experience, and we’ll give you the design, the complete source code and a downloadable mini-app, which you can use today to add an enjoyable and effective carousel to your own app on phones and tablets.

Despite a great deal of mobile innovation, many creators of financial apps still copy their interface patterns from the desktop Web, even though these patterns are not as well suited to the mobile space. Small screens, custom controls, divided attention and fat fingers demand different thinking when designing for mobile.

In this article, we will look specifically at simple mobile transfers of funds from checking to savings accounts, taking what works on the Web and converting it into authentically mobile flows using simple, effective design patterns.

In contrast to desktop Web search, auto-suggest on mobile devices is subject to two additional limitations: typing avoidance and slower bandwidth. The new patent-pending design pattern, Tap-Ahead, uses continuous refinement to create an intuitive, authentically mobile auto-suggest solution. This helps dramatically reduce the amount of typing needed to enter queries, and utilizes slower mobile bandwidth in the most efficient manner. Using this novel design pattern, your customers can quickly access thousands of popular search term combinations by typing just a few initial characters.

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As John Ferrara wrote in his November 2010 UXMagazine article, "Psychic Search: a quick primer on search suggestions", today auto-suggest is practically ubiquitous in desktop Web search. In contrast to desktop Web, auto-suggest on mobile is (at least for now) fairly rare. The only mobile Website that currently implements auto-suggest is Google.com, and a handful of mobile auto-suggest implementations that currently exist come from native mobile apps built by leading online retailers like Amazon and Booking.com.

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